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临床试验/NCT07468123
NCT07468123Enrolling By Invitation不适用

Atrial Fibrillation Risk Estimation With Single-lead Handheld Electrocardiograms

Massachusetts General Hospital1 个研究点 分布在 1 个国家目标入组 200 人开始时间: 2025年7月30日最近更新:
干预措施

试验速览

阶段
不适用
状态
Enrolling By Invitation
入组人数
200
试验地点
1
主要终点
New AF diagnosis (%)

研究概览

简要总结

The goal of this prospective, non-randomized pilot study is to learn whether predictions from a previously validated 12-lead ECG-based artificial intelligence (AI) algorithm (ECG-AI) identify people more likely to have undiagnosed atrial fibrillation (AF).

The main questions it aims to answer are:

Do people predicted to have high risk of AF using ECG-AI have a higher rate of new AF diagnosis using 1L ECG screening compared with people predicted to have a low risk? Do AI-based AF risk estimates from the 12-lead ECG correlate with AF risk estimates from the 1L ECG? Do people find 1L ECG screening for AF acceptable and useful?

Participants will:

Undergo screening with 1L ECG mailed to their home Complete a survey assessing attitudes toward 1L ECG screening Complete a 14-day patch monitor on 1 or 2 occasions depending on 1L ECG results

详细描述

This is a prospective, non-randomized pilot study designed to assess whether our 12-lead ECG algorithm can identify individuals with AF detectable using 1L ECG. We will also assess whether AF risk estimates from the 1L ECG correlate with those using the 12-lead ECG. We also plan to assess participant attitudes toward the use of 1L ECGs for AF risk estimation.

Using our AF risk algorithm on existing 12-lead ECGs, will categorize prospective participants into low AF risk (<1% 1-year AF risk) versus high AF risk (>10% 1-year AF risk). We will mail 1L ECG devices to participants and ask them to obtain 3 tracings which we will then use to estimate AF risk using a 1L ECG version of our AF risk algorithm. We will then screen perform patch monitor screening for AF and compare the rates of AF detection between the two groups.

This study involves use of two consumer digital devices. The AliveCor KardiaMobile 1L ECG device is an FDA cleared cardiac rhythm assessment device capable of producing a 1L ECG in conjunction with a compatible smartphone. The Zio®XT is an FDA cleared medical-grade 1L ECG rhythm monitor.

This pilot study has three main outcomes: 1) prospectively ascertained estimated AF risk using the handheld 1L ECG algorithm, 2) incident AF at 12 months, ascertained using the linked EHR and/or the results of the study patch monitors, and 3) perceived acceptability and usefulness of the handheld ECG. No physical study visits are required according to this protocol.

研究设计

研究类型
Interventional
分配方式
Non Randomized
干预模型
Parallel
主要目的
Diagnostic
盲法
Single (Outcomes Assessor)

入排标准

年龄范围
18 Years 至 90 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Men and women aged 50-90 who are new or established patients in an MGH primary care or ambulatory cardiology practice
  • Willing to provide consent to participate in the study to access data from electronic health records (EHR)
  • At least 1 12-lead ECG obtained within 5 years prior to study start date for AF risk estimation
  • Have access to a smart phone or tablet to use with the AliveCor KardiaMobile 1L ECG device

排除标准

  • History of atrial fibrillation or atrial flutter as documented in the patient's current electronic health record medical problem list or self-reported diagnosis
  • Implanted cardiac devices (pacemakers, implantable cardiac defibrillators, or cardiac resynchronization therapy, and implantable loop recorders)
  • History of allergy to adhesive

研究组 & 干预措施

Low-risk

Active Comparator

Low estimated risk for AF (<1% 1-year AF risk)

干预措施: 1L ECG screening (Diagnostic Test)

Low-risk

Active Comparator

Low estimated risk for AF (<1% 1-year AF risk)

干预措施: Patch monitor (Diagnostic Test)

High-risk

Active Comparator

Low estimated risk for AF (>10% 1-year AF risk)

干预措施: 1L ECG screening (Diagnostic Test)

High-risk

Active Comparator

Low estimated risk for AF (>10% 1-year AF risk)

干预措施: Patch monitor (Diagnostic Test)

结局指标

主要结局

New AF diagnosis (%)

时间窗: 1 year

Rate of new AF diagnosis

Acceptability and usefulness

时间窗: 0

Survey-based acceptability and usefulness of 1L ECG screening process

AI-based AF risk correlation

时间窗: 0

Correlation between 12-lead ECG-based AF risk and 1L ECG-based AF risk using AI model

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Shaan Khurshid

Assistant Professor of Medicine

Massachusetts General Hospital

研究点 (1)

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